Effortlessly Merge Hundreds of CSV Files with Python and Pandas

Introduction

Hello, I am a Python enthusiast. In a recent Python community discussion, a member asked how to automate office work by reading hundreds of CSV files and merging them into a single dataset based on column names.

Solution

The following code uses pathlib to locate all CSV files in the data folder and pandas to concatenate them, then writes the combined result to new_concat.csv without an index column.

from pathlib import Path
import pandas as pd

pd.concat([pd.read_csv(i) for i in Path('data').glob('*.csv')])\
    .to_csv('new_concat.csv', index=False)

The approach successfully resolved the issue.

Conclusion

This short tutorial demonstrates a practical Python solution for merging multiple CSV files, providing a quick way to automate data aggregation tasks.